{"id":"W6925533187","doi":"10.17882/82098","title":"TERIFIC Ocean Glider Deployments in the Labrador Sea","year":2019,"lang":"en","type":"dataset","venue":"SEANOE","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glider; Underwater glider; Bay; Submarine pipeline; Backscatter (email); On board; Fishing; Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004588106,0.0004807504,0.0003922494,0.0006734639,0.0005804064,0.0003846922,0.00046864,0.0003898855,0.001859967],"category_scores_gemma":[0.0003829684,0.0002342736,0.0003162936,0.0006397841,0.0002379638,0.0002375988,0.001047279,0.0004906834,0.0008975728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267735,"about_ca_system_score_gemma":0.0008830042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05588339,"about_ca_topic_score_gemma":0.1585881,"domain_scores_codex":[0.9997206,0.00002210214,0.00001588384,0.00009515375,0.00008184871,0.00006431527],"domain_scores_gemma":[0.9998012,0.000009938001,0.00003113973,0.00003581482,0.00005426977,0.00006773914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003461798,0.0006690118,0.529512,0.0003159851,0.0003345782,0.001364325,0.005482121,0.01235817,0.1903356,0.001068879,0.01707402,0.2380236],"study_design_scores_gemma":[0.0001300633,0.001063372,0.9654309,0.00005613377,0.00007004587,0.0001502337,0.001462844,0.003439224,0.00961815,0.0000768576,0.01845099,0.00005109917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9881963,0.00007536298,0.0008610951,0.00004842759,0.00002367061,0.00006579905,0.004415114,0.0003343636,0.005979716],"genre_scores_gemma":[0.9712312,0.0001999326,0.009652779,0.0001091129,0.00001850823,0.0001843867,0.01221411,0.0001780579,0.006211956],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9441166,"threshold_uncertainty_score":0.1111162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1853508939741938,"score_gpt":0.4216310538925797,"score_spread":0.2362801599183859,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}